Sentence examples for the categories model from inspiring English sources

The categories model with GTR (CAT-GTR) and CAT-Poisson models [ 34, 35] were also used to analyse nucleotide and amino acid data, respectively.

According to preliminary analysis, the categories model with GTR (CAT-GTR) and CAT-Poisson models [ 96, 97] fit the data best and were used for BI and ML analysis of the nucleotide and amino acid data, respectively.

In the category model, categories and objects are used to represent different knowledge structures; arrows and pullbacks are used to sketch diverse connection between objects; functors are utilized to reveal the structure-preserving mapping between categories in specification and verification.

Then the category model that best fitted the distribution of the codewords of a test image was inferred comparing the likelihood of an image given each category.

The latter is an extension of the category model.

The category model (M/F) was then fitted using the optimal latencies from the two-phase model.

At φ = 43.86 the category model has LRTcat-con = 16.311 while β2 and β3 are significantly positive.

Applying the category model with φ = 36.90 gives LRTcat-con = 33.844 and β1, β2, and β3 are all significantly positive.

The 95%CI's do not exclude negative ERR. Applying the category model with φ = 26.91 gives the weak result LRTcat-con = 8.077 with only β1 significantly positive.

We assigned the category "modeled change" if changes in land-use over time were explicitly incorporated in future projections, and "modeled static" if land use was simulated in future projections but did not change over time.

The Test 1 compares the neutral vs. the three category model, and the Test 2, less conservative, compares the neutral vs. the two-category model [ 111].